/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
/// WARNING: Users of TensorFlow Lite should not include this file directly,
/// but should instead include "tflite/kernels/register.h".
/// Only the TensorFlow Lite implementation itself should include this
/// file directly.
#ifndef TENSORFLOW_LITE_CORE_KERNELS_REGISTER_H_
#define TENSORFLOW_LITE_CORE_KERNELS_REGISTER_H_

#include "tflite/core/model.h"  // Legacy.
#include "tflite/mutable_op_resolver.h"

namespace tflite {
namespace ops {
namespace builtin {

// This built-in op resolver provides a list of TfLite delegates that could be
// applied by TfLite interpreter by default.
class BuiltinOpResolver : public MutableOpResolver {
 public:
  // NOTE: we *deliberately* don't define any virtual functions here to avoid
  // behavior changes when users pass a derived instance by value or assign a
  // derived instance to a variable of this class. See "object slicing"
  // (https://en.wikipedia.org/wiki/Object_slicing)) for details.
  BuiltinOpResolver();
};

// This built-in op resolver enables XNNPACK by default for all types.
// Unsigned quantized inference (QU8) can be disabled by setting
// `enable_xnnpack_unsigned_quantized` to false. \warning Experimental
// interface, subject to change.
class BuiltinOpResolverWithXNNPACK : public BuiltinOpResolver {
 public:
  explicit BuiltinOpResolverWithXNNPACK(
      bool enable_xnnpack_unsigned_quantized = true);
};

// TfLite interpreter could apply a TfLite delegate by default. To completely
// disable this behavior, one could choose to use the following class
// BuiltinOpResolverWithoutDefaultDelegates.
class BuiltinOpResolverWithoutDefaultDelegates : public BuiltinOpResolver {
 public:
  BuiltinOpResolverWithoutDefaultDelegates() : BuiltinOpResolver() {
    delegate_creators_.clear();
    opaque_delegate_creators_.clear();
  }
};

}  // namespace builtin
}  // namespace ops
}  // namespace tflite

#endif  // TENSORFLOW_LITE_CORE_KERNELS_REGISTER_H_
